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Official Verified social Safety 3/5

linkedin-autopilot

Your agent builds your LinkedIn presence while you sleep. Schedule posts, auto-engage with target accounts, run personalized DM sequences, and never miss an engagement opportunity. Handles connection requests, profile visiting campaigns, post engagement, and follow-up sequences with safety throttling and human-like behavior patterns. Configure your targets, define engagement rules, and let your agent network 24/7. Use when setting up LinkedIn automation, managing posting schedules, running engagement campaigns, or building agent-driven LinkedIn lead generation workflows.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/audsmith28/linkedin-autopilot
Or

What This Skill Does

LinkedIn Autopilot is a comprehensive agent-driven tool designed to manage and scale your professional network presence automatically. Unlike basic bots, this skill utilizes advanced browser automation with human-like behavior patterns—including randomized delays and intelligent throttling—to interact with LinkedIn safely. It handles the heavy lifting of social media management by scheduling content, auto-engaging with target accounts, managing connection request campaigns, and executing multi-step DM sequences. Whether you are looking to increase reach, generate leads, or maintain a consistent posting schedule, this agent ensures your profile stays active 24/7 without requiring your constant presence.

Installation

To get started, follow these steps to integrate the skill into your OpenClaw agent:

  1. Execute the command: clawhub install openclaw/skills/skills/audsmith28/linkedin-autopilot.
  2. Run scripts/setup.sh within the local environment to initialize necessary directories.
  3. Securely store your credentials by updating ~/.clawdbot/secrets.env with LINKEDIN_EMAIL and LINKEDIN_PASSWORD.
  4. Populate your configuration file at ~/.config/linkedin-autopilot/config.json with your engagement targets, content queue, and outreach sequences.
  5. Always verify your setup by running scripts/engage.sh --dry-run to ensure your parameters behave as expected before going live.

Use Cases

  • Lead Generation: Build targeted connection campaigns with personalized notes and automated follow-up sequences for prospects who engage.
  • Personal Branding: Maintain a consistent posting cadence using the automated queue, ensuring your content is shared at optimal times for maximum reach.
  • Network Growth: Automatically interact with industry-specific accounts to stay visible to key decision-makers.
  • Sales Pipeline Management: Nurture cold leads through multi-step DM sequences with conditional logic that adapts based on user responses.

Example Prompts

  1. "Engage with all posts from the 'SaaS Founders' list today using insightful comments that highlight our latest blog post, but skip weekends."
  2. "Review the current connection request queue and start a new sequence for the top 20 prospects, using the 'Introductory' template."
  3. "Summarize the engagement results from the last 7 days and generate a report showing which posts led to the most connection conversions."

Tips & Limitations

  • Safety First: Always use the --dry-run flag when experimenting with new engagement rules to avoid violating LinkedIn's terms of service.
  • Warm-up: If your account is new or has been inactive, start with conservative safety settings in config.json to avoid being flagged by anti-bot measures.
  • Content Quality: While the agent handles the delivery, the quality of your content and DM templates remains critical; use human-written, value-driven messages for the best results.

Metadata

Stars4473
Views3
Updated2026-05-01
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-audsmith28-linkedin-autopilot": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#social#automation#linkedin#lead-gen
Safety Score: 3/5

Flags: network-access, file-write, file-read, data-collection, external-api

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